Production planning of series-parallel hybrid shop when multi-users' demand exceeding supply

Abstract

The optimal production planning of series-parallel hybrid shop (SPHS) was studied when the multi-user' demand is running ahead of production. Based on the investigation of the manufacturing system, relational structure of up-down streams for series-parallel hybrid shop was established. Without setting the priority, a nonlinear programming model of production planning with greatest production benefits for multi-users' demand was built up. Then the model was calculated by genetic algorithm (GA). Finally, three given simulation results indicated that this method is effective. Compared to other methods of setting the priority, this method is widely used in various situations when demand exceeds supply.